The osFoundry desktop application implements a server-side security model for its interaction with Claude Code, prioritizing server-side control over client-side flags. This approach ensures that the server, not the client, dictates which tools are available and executable. osFoundry achieves this by filtering tool lists on the server and verifying tool calls before execution, even when Claude Code is in a bypass permissions mode. This design prevents the model from accessing or invoking unauthorized tools, even if they are present in its training data or introduced via prompt injection. AI
IMPACT Enhances security for LLM-powered applications by centralizing tool access control on the server.
RANK_REASON The article details a specific implementation choice for tool security within a desktop application interacting with an LLM, rather than a novel model release or core research.
- 0.0.0.0
- Claude Code
- .codex
- JSON-RPC
- localhost
- MCP
- osFoundry
- Python
- Tauri
- bridge.py
- fake_cli.py
- run_demo.py
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